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Energy Efficiency in Large Scale Distributed Systems

COST IC0804 European Conference, EE-LSDS 2013, Vienna, Austria, April 22-24, 2013, Revised Selected Papers

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Jean-Marc Pierson

    1. Toulouse University, Toulouse, France

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  2. Georges Da Costa

    1. Toulouse University, Toulouse, France

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  3. Lars Dittmann

    1. Technical University of Denmark, Lyngby, Denmark

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  • Proceedings of the final event of the COST Action IC0804, EE-LSDS 2013, held in Vienna, Austria
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8046)

Part of the book sub series: Computer Communication Networks and Telecommunications (LNCCN)

Included in the following conference series:

Conference proceedings info: EE-LSDS 2013.

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About this book

This book constitutes revised selected papers from the Conference on Energy Efficiency in Large Scale Distributed Systems, EE-LSDS, held in Vienna, Austria, in April 2013. It served as the final event of the COST Action IC0804 which started in May 2009. The 15 full papers presented in this volume were carefully reviewed and selected from 31 contributions. In addition, 7 short papers and 3 demo papers are included in this book. The papers are organized in sections named: modeling and monitoring of power consumption; distributed, mobile and cloud computing; HPC computing; wired and wireless networking; and standardization issues.

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XI
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  2. Modeling and Monitoring of Power Consumption

    1. Front Matter

      Pages 1-1
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    2. Solving Some Mysteries in Power Monitoring of Servers: Take Care of Your Wattmeters!

      • Mohammed El Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso, Sandra Catalán et al.
      Pages 3-18

    3. EnergyBox: A Trace-Driven Tool for Data Transmission Energy Consumption Studies

      • Ekhiotz Jon Vergara, Simin Nadjm-Tehrani
      Pages 19-34

    4. Myths in PMC-Based Power Estimation

      • Jason Mair, Zhiyi Huang, David Eyers, Haibo Zhang
      Pages 35-50

    5. Energy Consumption Library

      • Leandro F. Cupertino, Georges Da Costa, Amal Sayah, Jean-Marc Pierson
      Pages 51-57

    6. Gicomp and GreenOffice – Monitoring and Management Platforms for IT and Home Appliances

      • Mateusz Jarus, Ariel Oleksiak
      Pages 58-62

    7. Modelling Power Adaption Flexibility of Data Centres for Demand-Response Management

      • Andreas Berl, Gergö Lovász, Ferdinand von Tüllenburg, Hermann de Meer
      Pages 63-66

  3. Distributed, Mobile and Cloud Computing

    1. Front Matter

      Pages 67-67
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    2. StressCloud

      • Guillaume Le Louët, Jean-Marc Menaud
      Pages 69-84

    3. An Intelligent and Adaptive Threshold-Based Schema for Energy and Performance Efficient Dynamic VM Consolidation

      • Seyed Saeid Masoumzadeh, Helmut Hlavacs
      Pages 85-97

    4. Energy Characterization of Data Mining Algorithms on Mobile Devices

      • Carmela Comito, Domenico Talia
      Pages 98-113

    5. Snooze: An Autonomic and Energy-Efficient Management System for Private Clouds

      • Matthieu Simonin, Eugen Feller, Anne-Cécile Orgerie, Yvon Jégou, Christine Morin
      Pages 114-117

    6. DCworms - A Tool for Simulation of Energy Efficiency in Data Centers

      • Wojciech Piatek
      Pages 118-124

    7. Energy Efficiency in Secure and Dynamic Cloud Storage

      • Adilet Kachkeev, Ertem Esiner, Alptekin Küpçü, Öznur Özkasap
      Pages 125-130

  4. HPC Computing

    1. Front Matter

      Pages 131-131
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    2. A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment

      • Mateusz Guzek, Sébastien Varrette, Valentin Plugaru, Johnatan E. Pecero, Pascal Bouvry
      Pages 133-152

    3. Runtime Scheduling of the LU Factorization: Performance and Energy

      • Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Mayo
      Pages 153-167

    4. A Three Step Blind Approach for Improving HPC Systems’ Energy Performance

      • Ghislain Landry Tsafack Chetsa, Laurent Lefevre, Patricia Stolf
      Pages 168-181

    5. Performance Evaluation and Energy Efficiency of High-Density HPC Platforms Based on Intel, AMD and ARM Processors

      • Mateusz Jarus, Sébastien Varrette, Ariel Oleksiak, Pascal Bouvry
      Pages 182-200
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Other volumes

  1. Energy Efficiency in Large Scale Distributed Systems

Editors and Affiliations

  • Toulouse University, Toulouse, France

    Jean-Marc Pierson, Georges Da Costa

  • Technical University of Denmark, Lyngby, Denmark

    Lars Dittmann

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